Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "69"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 69 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 38 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 36 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 69, Node N04:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459853 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 64.61% -0.122043 -1.060339 0.118799 0.206679 1.551696 1.117934 -0.022844 1.539862 0.7530 0.7122 0.4106 2.887215 2.608254
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 69.73% -0.878789 -1.611093 1.021096 0.338459 0.985204 0.865473 0.300045 -0.223748 0.8454 0.8510 0.2290 3.972794 4.004138
2459851 digital_ok 0.00% 0.00% 0.00% 0.00% 11.76% 59.89% -0.685499 -1.237935 0.749036 0.545512 0.622107 0.998624 0.060924 -0.107096 0.7807 0.7688 0.3153 3.765290 3.241138
2459850 digital_ok 0.00% 0.00% 0.00% 0.00% 18.02% 72.67% -0.103311 -1.082340 0.147378 0.255993 1.070015 1.427352 0.105916 1.570887 0.7596 0.7757 0.3392 2.688504 2.469902
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 43.55% -0.214203 -0.952791 0.691504 0.156716 1.974813 1.119692 -0.013531 3.375486 0.7583 0.7686 0.3438 1.568925 1.399421
2459848 digital_ok 0.00% 0.00% 0.00% 0.00% 32.16% 53.77% -0.025236 -1.103520 1.481235 -0.739533 2.277909 2.062161 -0.085535 -0.218557 0.7375 0.7687 0.3680 2.944524 2.736030
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 86.63% -0.084416 -1.099331 2.084690 -0.408828 0.682791 1.667709 -0.692581 -0.242520 0.7416 0.7089 0.4135 2.897905 2.592640
2459846 digital_ok 0.00% 0.00% 0.00% 0.00% 33.33% 50.00% -0.558906 -1.230180 1.485447 -0.868910 -0.084726 0.753513 -0.246226 0.541132 0.8527 0.7114 0.4512 2.659541 2.222598
2459845 digital_ok 0.00% 0.00% 0.00% 0.00% 16.02% 83.98% -0.122381 -0.706538 1.591845 -0.854878 2.864249 2.412726 -0.531056 -0.518960 0.7411 0.7634 0.3669 5.956157 5.107822
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - 1.547988 1.382030 0.865875 0.428474 0.281899 8.334031 0.756664 1.611655 0.0318 0.0276 0.0037 nan nan
2459843 digital_ok 0.00% 0.66% 0.66% 0.00% 15.22% 32.07% 0.058614 -0.777224 -0.534463 -0.814024 0.838233 0.831187 -0.449550 0.375456 0.7505 0.7637 0.3760 1.628635 1.495282
2459840 digital_ok 0.00% 100.00% 100.00% 0.00% - - -1.077491 1.008693 -0.769090 0.557295 -0.436914 -0.686589 0.691941 0.361987 0.0277 0.0245 0.0027 nan nan
2459839 digital_ok 0.00% - - - - - -1.022715 -0.672379 -1.342021 1.812450 -0.480685 -1.247211 0.680128 0.014327 nan nan nan nan nan
2459838 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 61.719302 95.250392 67.747141 72.787672 69.497318 111.290107 619.144088 784.028551 0.0176 0.0165 0.0008 1.024104 1.012470
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0386 0.0375 0.0021 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - 0.620091 0.247225 0.172116 -0.455679 1.476151 8.505494 0.424813 3.619893 0.0376 0.0376 0.0025 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 0.278643 -0.048724 -0.984305 0.222670 3.732599 10.778008 0.776491 1.860149 0.0350 0.0434 0.0013 nan nan
2459832 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.806418 -1.454738 0.064950 -0.089935 0.845602 1.671166 -0.219568 2.432565 0.1032 0.0958 0.0256 1.216262 1.203957
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.154322 1.335235 -0.359734 1.412400 0.649096 0.765097 1.068327 0.130382 0.0425 0.0436 0.0026 nan nan
2459830 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.150735 -1.538530 0.065275 -0.112409 -0.321759 2.288442 -0.226670 2.706243 0.1005 0.1031 0.0300 1.255059 1.249145
2459829 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.381977 -0.556269 -0.810677 0.038499 2.349237 1.689385 1.862574 8.103281 0.1008 0.1017 0.0226 1.075944 1.079068
2459828 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.061600 -1.033993 -0.766283 -0.000406 -0.015139 3.375789 1.264593 2.126029 0.0900 0.0977 0.0245 1.218223 1.211915
2459827 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.346447 -0.983178 -0.096426 0.076454 1.555559 0.827002 -0.620004 -0.670635 0.1033 0.1039 0.0246 1.231489 1.227850
2459826 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.023112 -1.247919 0.383520 -0.010189 -0.429686 3.669230 -0.271155 2.820727 0.0701 0.0606 0.0110 1.258466 1.254717
2459825 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.031371 -1.141612 -0.210937 0.228502 -0.906489 1.203532 -0.844661 -0.933466 0.0979 0.1105 0.0284 1.177871 1.173389
2459824 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.614831 -1.236384 -0.177431 0.211432 0.337583 1.959750 -0.056989 0.818988 0.1094 0.1150 0.0276 1.223879 1.217808
2459823 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.068947 -0.683295 0.403604 0.574588 -0.711853 0.658869 -0.285360 -0.307389 0.1047 0.1086 0.0292 1.234352 1.234605
2459822 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.543591 -0.682302 -0.298436 -0.005662 -0.459596 1.031031 -0.142957 -0.965075 0.1007 0.1135 0.0272 1.189636 1.187931
2459821 digital_ok 0.00% 11.29% 11.29% 0.00% 13.16% 68.42% 1.884121 -1.026560 -0.477945 -0.264308 -0.936858 0.689744 -1.388235 -1.432674 0.7383 0.6226 0.4169 3.525956 3.002826
2459820 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 5.35% 0.339365 -0.851591 -0.481413 -0.120541 2.409847 2.856243 -0.018397 3.382165 0.7931 0.7296 0.3825 1.786700 1.541766
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 100.00% 0.915168 -0.790020 -0.702017 -0.315436 -1.382036 0.324285 -0.515374 -0.639050 0.8382 0.7264 0.4731 2.920820 2.452647
2459816 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 39.53% 0.022235 -0.812629 0.166322 0.652640 -0.016882 1.245177 -0.142815 0.763016 0.8531 0.6384 0.5548 3.082515 3.328307
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 81.58% 0.697577 -0.366405 -0.106298 0.223352 -0.333193 1.768103 -0.529502 1.722094 0.8372 0.7351 0.4840 4.930755 4.817696
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.250565 -0.738536 -0.870088 -0.737290 2.008405 2.616344 2.095497 7.274280 0.8113 0.7741 0.3663 18.435671 20.357556

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 69: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Temporal Variability 1.551696 -1.060339 -0.122043 0.206679 0.118799 1.117934 1.551696 1.539862 -0.022844

Antenna 69: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Power 1.021096 -0.878789 -1.611093 1.021096 0.338459 0.985204 0.865473 0.300045 -0.223748

Antenna 69: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 0.998624 -0.685499 -1.237935 0.749036 0.545512 0.622107 0.998624 0.060924 -0.107096

Antenna 69: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 1.570887 -0.103311 -1.082340 0.147378 0.255993 1.070015 1.427352 0.105916 1.570887

Antenna 69: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 3.375486 -0.214203 -0.952791 0.691504 0.156716 1.974813 1.119692 -0.013531 3.375486

Antenna 69: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Temporal Variability 2.277909 -1.103520 -0.025236 -0.739533 1.481235 2.062161 2.277909 -0.218557 -0.085535

Antenna 69: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Power 2.084690 -1.099331 -0.084416 -0.408828 2.084690 1.667709 0.682791 -0.242520 -0.692581

Antenna 69: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Power 1.485447 -0.558906 -1.230180 1.485447 -0.868910 -0.084726 0.753513 -0.246226 0.541132

Antenna 69: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Temporal Variability 2.864249 -0.706538 -0.122381 -0.854878 1.591845 2.412726 2.864249 -0.518960 -0.531056

Antenna 69: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 8.334031 1.547988 1.382030 0.865875 0.428474 0.281899 8.334031 0.756664 1.611655

Antenna 69: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Temporal Variability 0.838233 -0.777224 0.058614 -0.814024 -0.534463 0.831187 0.838233 0.375456 -0.449550

Antenna 69: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Shape 1.008693 -1.077491 1.008693 -0.769090 0.557295 -0.436914 -0.686589 0.691941 0.361987

Antenna 69: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Power 1.812450 -0.672379 -1.022715 1.812450 -1.342021 -1.247211 -0.480685 0.014327 0.680128

Antenna 69: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 784.028551 95.250392 61.719302 72.787672 67.747141 111.290107 69.497318 784.028551 619.144088

Antenna 69: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 8.505494 0.247225 0.620091 -0.455679 0.172116 8.505494 1.476151 3.619893 0.424813

Antenna 69: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 10.778008 -0.048724 0.278643 0.222670 -0.984305 10.778008 3.732599 1.860149 0.776491

Antenna 69: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 2.432565 0.806418 -1.454738 0.064950 -0.089935 0.845602 1.671166 -0.219568 2.432565

Antenna 69: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Power 1.412400 -0.154322 1.335235 -0.359734 1.412400 0.649096 0.765097 1.068327 0.130382

Antenna 69: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 2.706243 1.150735 -1.538530 0.065275 -0.112409 -0.321759 2.288442 -0.226670 2.706243

Antenna 69: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 8.103281 -0.556269 0.381977 0.038499 -0.810677 1.689385 2.349237 8.103281 1.862574

Antenna 69: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 3.375789 -1.033993 1.061600 -0.000406 -0.766283 3.375789 -0.015139 2.126029 1.264593

Antenna 69: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Temporal Variability 1.555559 0.346447 -0.983178 -0.096426 0.076454 1.555559 0.827002 -0.620004 -0.670635

Antenna 69: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 3.669230 -1.247919 1.023112 -0.010189 0.383520 3.669230 -0.429686 2.820727 -0.271155

Antenna 69: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 1.203532 -1.141612 1.031371 0.228502 -0.210937 1.203532 -0.906489 -0.933466 -0.844661

Antenna 69: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 1.959750 -0.614831 -1.236384 -0.177431 0.211432 0.337583 1.959750 -0.056989 0.818988

Antenna 69: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Shape 1.068947 -0.683295 1.068947 0.574588 0.403604 0.658869 -0.711853 -0.307389 -0.285360

Antenna 69: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Shape 1.543591 1.543591 -0.682302 -0.298436 -0.005662 -0.459596 1.031031 -0.142957 -0.965075

Antenna 69: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Shape 1.884121 -1.026560 1.884121 -0.264308 -0.477945 0.689744 -0.936858 -1.432674 -1.388235

Antenna 69: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 3.382165 0.339365 -0.851591 -0.481413 -0.120541 2.409847 2.856243 -0.018397 3.382165

Antenna 69: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
69 N04 digital_ok ee Shape 0.915168 0.915168 -0.790020 -0.702017 -0.315436 -1.382036 0.324285 -0.515374 -0.639050

Antenna 69: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 1.245177 -0.812629 0.022235 0.652640 0.166322 1.245177 -0.016882 0.763016 -0.142815

Antenna 69: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Variability 1.768103 -0.366405 0.697577 0.223352 -0.106298 1.768103 -0.333193 1.722094 -0.529502

Antenna 69: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 69: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
69 N04 digital_ok nn Temporal Discontinuties 7.274280 -0.738536 1.250565 -0.737290 -0.870088 2.616344 2.008405 7.274280 2.095497
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